About this skill

Problem

Producing sell-side-style earnings reviews requires turning revenue, profit, cost ratios, consensus estimates, and risk factors into a one-page note, but manually reconciling company names, periods, market codes, and data sources is error-prone.

How It Works

Required input: company name or ticker, e.g. Kweichow Moutai or NVDA; reporting period optional, e.g. 2025Q1.
Invocation: route the task to Wind Alice Agent through alice-global-share-quarterly-earnings-review; the CLI polls to a terminal state and returns agentResult.value.
Output structure: a title plus a five-section review covering performance, profitability, investment logic, earnings forecasts, and risk notes.
Delivery rule: show only the server-returned body; treat reportFullFile as a local artifact only and do not paste it to the user.

Boundaries

It supports A-shares, HK stocks, US stocks, and Europe, and covers quarterly, semi-annual, and annual reports; if the full report is not yet disclosed, it can use preliminary earnings. It cites market consensus forecasts, does not estimate independently, and does not provide subjective buy/sell advice. It requires WIND_API_KEY; on Windows, read outputs with UTF-8 encoding.

Screenshots

Use Cases

Sell-side analysts review multiple companies quarterly and need to draft standardized one-page earnings notes quickly.
Buy-side researchers track the latest A-share or US-listed quarterly report and need to break down revenue, profit, margins, and consensus assessment.
Research assistants compile HK-listed interim report material and need forecasts, risk notes, and a five-section body.
Portfolio managers prepare morning meeting material and need a titled, structured review for CATL’s latest quarterly report.

Best For

Sell-side research analysts: need to organize global listed companies’ quarterly, interim, and annual reports into standardized review notes.
Buy-side portfolio managers: need to quickly assess whether results beat or miss consensus and review forecasts and risk notes.
Research assistants: need to structure earnings material into the five-section format and reduce manual data-source reconciliation.
Risk officers: need to identify company and industry risk factors into a reviewable earnings risk summary.

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